Bittensor (TAO)

The cheapest LLM's will ALWAYS be on Bittensor. 1/10th cheaper. ... because of Bitcoin-like chain subsidies. Check prices yourself: https://t.co/iqnLuRpM1b https://t.co/3tv5HNEqMJ https://t.co/XoB2V9AEzF

The marketing layer for the $TAO community is live @bitcast_network is building the open marketing tech layer on #Bittensor where creators, projects, and data come together to grow the network. Powered by community. Driven by intelligence.

$TAO is heading into its first halving as macro turns from a desert into a tsunami flood 🌊 People keep talking about the 4 year cycle, but here’s the truth. 2026 isn’t a normal cycle it’s a refinancing supercycle. In 2020, the Treasury issued trillions in new debt to fight COVID. Most of it matures between 2025–2026. That’s a massive maturity wall. Historically, the U.S. only survives maturity walls one way: Inject liquidity. Lower rates. More spending. More issuance. More support. And when liquidity returns? Hard-capped, scarce assets with real utility don’t just go up… they reprices entirely. Narratives die fast. Liquidity doesn’t.

🚨 Debunking $TAO Flow FUD: Why Bittensor's Emission Upgrade is Bullish AF 🚀 Thanks to Const for explaining We've heard the noise on $TAO flow vs. old price-based emissions claims of volatility, whale games, subnet deaths. But zoom out: these are inversely true. $TAO flow reduces biases, empowers new subnets, and drives real value. Here's the point-by-point takedown 👇 Starting value too high? Nah it smoothed the transition, cutting volatility you flagged. Focus on total emissions, not instant spikes. Not acting fast enough? Same deal EMA smooths over time for a truer value proxy. Instant reactions aren't the goal; sustainable flow is. Advantages whale subnets? Moot same issue in price-based, but harder now. dTAO's market voting can't outright stop it; it's decentralized reality. Death spiral for low-liq subs? Spurious. Bad subnets die anyway (price drops kill 'em too). Now $TAO doesn't bear the cost, fairer all around. New subnets can't enter? Wrong $TAO flow cuts liquidity bias, actually HELPING newcomers bootstrap without old guards dominating. Not killing farming? Plot it: Kurtosis up since launch, zero-emission subnets emerging. Farming's getting squeezed out. Good subnets dying? They're dying cuz prices tank if truly good, they'll rebound, pulling more flow. Survival of the fittest. Whales game with market making? Nope, liquidity injections don't touch flow calcs. Recommend 'em for healthy markets. New subnets can't launch? Flip it: Flow favors fresh blood over entrenched slow-burners reliant on past hype. Kills subnet biz models? Unchanged, all still chase positive alpha price action. No disruption here. Kills interest for new teams? Opposite, we've seen liquidity hogs before; flow levels the field, boosting emissions for innovators. Bonus FUD: Pushes revenue too quickly? No subnet's flowing serious rev yet; it's all spec. This meme ignores reality, flow rewards potential, not rushed cash grabs. In time, I believe Revenue will come to light as adoption ramps up. $TAO flow isn't a bug; it's the upgrade decentralizing AI emissions for long-term wins. Halving Dec amps scarcity, stack now. DYOR. #AICrypto #DecentralizedAI

Bittensor $TAO halving countdown: 9 Days https://t.co/5oXyn3gIQT

𝐁𝐢𝐭𝐭𝐞𝐧𝐬𝐨𝐫 $TAO 𝐒𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭: 𝐒𝐮𝐛𝐧𝐞𝐭 𝟏𝟖 (𝐙𝐞𝐮𝐬) - 𝐀𝐥𝐥 𝐭𝐡𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐯𝐞𝐫𝐭𝐢𝐜𝐚𝐥𝐬 𝐭𝐡𝐞 𝐝𝐞𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐬𝐞𝐝 𝐰𝐞𝐚𝐭𝐡𝐞𝐫 𝐞𝐧𝐠𝐢𝐧𝐞 𝐜𝐚𝐧 𝐬𝐞𝐫𝐯𝐞. Most people think weather forecasting is about convenience. Will it rain tomorrow or do I need a jacket? But in reality, weather intelligence is one of the largest hidden input markets in the modern economy. It drives trillions in value, energy prices, logistics flows, insurance risk, flight planning, agriculture decisions, shipping routes, renewable output, and more. Today, Bittensor’s Zeus subnet has quietly begun outperforming the world’s best institutional systems (like ECMWF’s IFS HRES). Sure, they are mainly operating on test data still but the potential is obvious. If weather forecasts are improved significantly it creates massive economic opportunities and it opens the door to a massive set of verticals. Let’s break them down. 𝐄𝐧𝐞𝐫𝐠𝐲 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 (core Zeus focus, for now) - $2+ Trillion global market This is the big one and most obvious one. Electricity, natural gas, renewables, and grid balancing markets all depend heavily on weather accuracy. Even a 1% improvement in short-term temperature or wind forecasts can have multi-million-dollar effects on: 🔸 Day-ahead and intraday power markets 🔸 Renewable generation predictions 🔸 Grid balancing 🔸 Peak load forecasting 🔸 Gas storage and pipeline flow optimization Zeus isn’t improving accuracy by 1%, it’s improving in some windows by 20–40%. Energy traders and utilities pay absurd amounts for more accurate weather data. If Zeus continues outperforming legacy systems, this verticle alone will bring in millions a year. If you're looking for a good post that further breaks down this verticle, check the post @taostacker did yesterday. 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 - $3.5 Trillion market Farmers, cooperatives, and ag-tech platforms rely on forecasts to plan: 🔸 Irrigation cycles 🔸 Pesticide application 🔸 Planting/harvest schedules 🔸 Temperature-sensitive crops 🔸 Risk models for frost, heatwaves, drought Even slight improvements reduce losses, increase yield stability, and directly influence commodity markets. For instance: Better precipitation \u0026 dewpoint forecasting = better crop insurance pricing and better wind \u0026 storm forecasting = fewer supply-chain disruptions. Agriculture becomes one of the largest downstream consumers of the hyper-local models Zeus is building. 𝐈𝐧𝐬𝐮𝐫𝐚𝐧𝐜𝐞 - $1.6 Trillion premium pool Accurate risk pricing depends heavily on forecasts. Legacy models suffer from slow update cycles and coarse spatial resolution. Zeus’s competitive miner ecosystem adapts faster and more acurate, and that speed matters. Insurance firms spend billions each year on risk datasets. If Zeus offers lower error rates and transparent scoring, this becomes another major buyer vertical. 𝐀𝐯𝐢𝐚𝐭𝐢𝐨𝐧 - $838 Billion industry Airlines optimize routes, fuel, safety, and schedule reliability using wind, turbulence and visibility forecasts. A 1% reduction in fuel burn saves airlines billions annually. Better weather intelligence = smoother operations, fewer delays, lower risk. Zeus’s low-latency prediction architecture is particularly attractive here. 𝐌𝐚𝐫𝐢𝐭𝐢𝐦𝐞 - $680 Billion Industry Shipping routes can save millions per voyage by: 🔸 Avoiding storms 🔸 timing port entries 🔸 Optimizing fuel efficiency with wind/ocean interactions 🔸 Predicting wave height \u0026 sea-state risks Most maritime forecasting today relies on slow, physics-based models. Zeus’s ML-driven approach can generate more precise short-term risk windows. This directly affects efficiency, insurance and charter rater for instance. I expect this verticle to be further along the way, but very interesting nevertheless. Next to this, Zeus is also directly selling an 𝐀𝐏𝐈 and could in the future also sell a weather app to consumers directly. Besides that, a big verticle they are building already is basically becoming a 𝐃𝐞𝐏𝐢𝐧 project themselves. 𝐖𝐞𝐚𝐭𝐡𝐞𝐫 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 underpins trillions of dollars of economic activity. And although I just showed a couple of verticals I think the potential is clear, especially when they can keep improving. So for me, @zeussubnet is one of the clearest demonstrations yet of what decentralized intelligence can do. Long term HODL.

$TAO / $USD - Update $288 needs to hold now on TAO to remain bullish short term. Otherwise this will open up the shorts down to $270 https://t.co/nllZdKj9cG

These absolute gems of subnets definitely did not deserve this fate. They are doing everything right. Watch these 4 carefully over the next few weeks for an explosive comeback. $TAO https://t.co/7M7kHNTQx6